Text Analytics with PythonDerive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization.
Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems.
Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure; Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summa ...
Mastering Machine Learning with Python in Six StepsMaster machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner.
This book's approach is based on the "Six degrees of separation" theory, which states that everyone and everything is a maximum of six steps away. Mastering Machine Learning with Python in Six Steps presents each topic in two parts: theoretical concepts and practical implementation using suitable Python packages.
You'll learn the fundamentals of Python programming language, machine learning history, evolution, and the system development frameworks. Key data mining / analysis concepts, such as feature dimension reduction, regression, time series forecasting and their efficient implementation in Scikit-learn are also covered. Finally, you'll explore advanced text mining techniques, neural networks and deep learning techniques, and their implementation.
All the code presented in the book will be available in the form of iPython ...
Programming RustRust is a new systems programming language that combines the performance and low-level control of C and C++ with memory safety and thread safety. Rust's modern, flexible types ensure your program is free of null pointer dereferences, double frees, dangling pointers, and similar bugs, all at compile time, without runtime overhead. In multi-threaded code, Rust catches data races at compile time, making concurrency much easier to use.
Written by two experienced systems programmers, this book explains how Rust manages to bridge the gap between performance and safety, and how you can take advantage of it.
Topics include:How Rust represents values in memory (with diagrams);Complete explanations of ownership, moves, borrows, and lifetimes;Cargo, rustdoc, unit tests, and how to publish your code on crates.io, Rust's public package repository;High-level features like generic code, closures, collections, and iterators that make Rust productive and flexibl ...
Think DSPIf you understand basic mathematics and know how to program with Python, you're ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they're applied in the real world. In the first chapter alone, you'll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds.
Author Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material.
You'll explore: Periodic signals and their spectrums; Harmonic structure of simple waveforms; Chirps and other sounds whose spectrum changes over time; Noise signals and natural sources of noise; The autocorrelation function for estimating pitch; The discrete cosine transform (DCT) for compression; The Fast Fourier Transform for spectral analysis; Relating ope ...
Making Data VisualYou have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you're a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way.
When incorporated into the process early and often, iterative visualization can help you refine the questions you ask of your data. Authors Danyel Fisher and Miriah Meyer provide detailed case studies that demonstrate how this process can evolve in the real world.
You'll learn:The data counseling process for moving from general to more precise questions about your data, and arriving at a working visualization;The role that visual representations play in data discovery;Common visualization types by the tasks they f ...
Design It!Great software comes from great designers. Learn the essential software architecture fundamentals every programmer needs to know. With hands-on examples in every chapter, tips and advice from respected architects, practical scenarios, and dozens of architectural design activities, Design It! shows you how to lead your team as a software architect to create excellent software.
Uncover the big ideas behind software architecture and learn practical methods for designing software systems big and small. Gain a framework for thinking about design, enabling you to plan, lead, design, implement, and evaluate software architectures. Collaborate with your team, stakeholders, and other architects. Dig for architecturally significant requirements and write detailed quality attribute scenarios. Explore design alternatives, balance trade-offs, manage risks, and choose technologies based on their architectural impact. Make the architecture real for everyone with powerful sketches, engaging stories ...
Designing Web APIsDesigning an API is complicated to begin with, but evolving your API design over time makes the process even more difficult. There are several books on the topic, but none that guide you through key decisions for designing and building APIs for specific audiences and types of products. Well, until now, that is.
Using case studies from companies such as Slack, Stripe, Facebook, and Github, this practical guide shows you how to navigate complex decisions when building, scaling, and evolving your own APIs. You'll learn best practices for designing APIs that developers will love, and discover how to evolve your APIs as your product grows.
Developers, architects, tech leads, product managers, and engineering managers will:Examine strategies to expose data through web APIs, using webhooks, websockets, and HTTP;Learn how to evolve APIs while keeping them consistent;Be able to scale APIs with pagination and rate limiting;Handle security, performance, mo ...
Seeking SREOrganizations - big and small - have started to realize just how crucial system and application reliability is to their business. At the same time, they've also learned just how difficult it is to maintain that reliability while iterating at the speed demanded by the marketplace. Site Reliability Engineering (SRE) is a proven approach to this challenge.
SRE is a large and rich topic to discuss. Google led the way with Site Reliability Engineering, the wildly successful O'Reilly book that described Google's creation of the discipline and the implementation that has allowed them to operate at a planetary scale. Inspired by that earlier work, this book explores a very different part of the SRE space.
The more than two dozen chapters in Seeking SRE bring you into some of the important conversations going on in the SRE world right now. Listen as engineers and other leaders in the field discuss different ways of implementing SRE and SRE principles in a wide variety of settings; how SRE ...
Modern Business ManagementTransform your entire organization, not just a part of it. Take a modern look now that the world is focusing on business agility rather than thinking about team-level or even scaled Agile.
Many people and businesses believe that "doing Agile" will solve all their business and organizational problems. The truth is that "doing Agile", especially team-level agility, is not the same as being an agile organization.
Authors Doug Dockery and Laureen Knudsen share their years of experience in transforming corporations and organizations to successfully compete and win in today's fast-paced markets. Using proven techniques and stories of actual experiences in a multitude of organizations, Doug and Laureen relate what it takes to successfully transform your organization, as well as how to tell if your transformation is working.
Modern Business Management details what you need to know to transform your business to deliver value and thrive. Coverage includes:What Agile means to an ...
Social Media Analytics StrategyThis book shows you how to use social media analytics to optimize your business performance. The tools discussed will prepare you to create and implement an effective digital marketing strategy. From understanding the data and its sources to detailed metrics, dashboards, and reports, this book is a robust tool for anyone seeking a tangible return on investment from social media and digital marketing.
Social Media Analytics Strategy speaks to marketers who do not have a technical background and creates a bridge into the digital world. Comparable books are either too technical for marketers (aimed at software developers) or too basic and do not take strategy into account. They also lack an overview of the entire process around using analytics within a company project. They don't go into the everyday details and also don't touch upon common mistakes made by marketers.
This book highlights patterns of common challenges experienced by marketers from entry level to directors and C-leve ...